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What leads to minimization of error between the desired & actual outputs?

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What leads to minimization of error between the desired & actual outputs?

(a) stability

(b) convergence

(c) either stability or convergence

(d) none of the mentioned

I got this question at a job interview.

I'm obligated to ask this question of Stability & Convergence topic in division Activation and Synaptic Dynamics of Neural Networks

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Correct option is (b) convergence

Easy explanation: Convergence is responsible for minimization of error between the desired & actual outputs.

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